Applied Scientist, EMEA

About This Opportunity

We are representing a confidential AI organization seeking an Applied Scientist for their Paris-based team. Our client is at the forefront of developing full-stack AI solutions, partnering with enterprises across finance, manufacturing, defense, healthcare, and the public sector. This is a high-impact role working on state-of-the-art models and tackling complex real-world challenges.

Responsibilities

• Run pre-training, post-training, and deployment of state-of-the-art models on clusters with thousands of GPUs
• Work across diverse complex real-world problems including robotics, engineering, finance, cybersecurity, and physics
• Generate and curate data for pre-training and post-training, develop evaluations, and ensure model performance exceeds expectations
• Develop tools and frameworks to facilitate data generation, model training, evaluation, and deployment
• Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines
• Manage research projects and communications with client research teams
• Contribute to large codebases, developing SOTA models across different modalities such as text, image, and speech

What We're Looking For

Required qualifications:

• Fluent in English with excellent communication skills—at ease explaining complex technical concepts to both technical and non-technical audiences
• Expert-level experience with PyTorch or JAX
• Comfortable contributing to large codebases; able to find your way around independently with little guidance
• Writes clean, readable, high-performance, fault-tolerant Python code
• Self-directed and able to navigate uncertainty with confidence without needing detailed roadmaps
• Low-ego, collaborative, and eager to learn
• Track record of success through personal projects, professional projects, or academia

Nice to have:

• Entrepreneurial background or founder experience
• PhD or Master's in a relevant field (Mathematics, Physics, Machine Learning)—exceptional candidates from other backgrounds welcome
• Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis
• Experience working on large codebases or large machine learning models at scale
• Contributions to large open-source or industry codebases
• Publications in top academic journals or conferences
• Enjoys improving existing code: typing, tests, CI pipelines

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communications should go through our recruiting team to ensure a smooth process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to creating a diverse and inclusive recruitment process. We welcome applications from all qualified candidates regardless of race, color, religion, gender, sexual orientation, national origin, disability, or age.